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docs: Update image links in README (#1433)
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hoxbro authored Oct 9, 2024
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The API is based on the familiar Pandas `.plot` API and the innovative `.interactive` API.

<img src="https://github.com/MarcSkovMadsen/old-awesome-panel-assets/blob/master/images/hvPlot/hvplot-total-intro.gif?raw=true" style="max-height:600px;border-radius:2%;">
<img src="https://assets.holoviz.org/hvplot/hvplot-total-intro.gif" style="max-height:600px;border-radius:2%;">

## hvPlot works with the tools you know and love

Expand All @@ -36,7 +36,7 @@ hvPlot is **the simplest way to benefit from the [HoloViz](https://holoviz.org/)

Check out [this blog post](https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1) to see how easy it is to create an interactive dashboard with hvPlot and Panel.

<a href="https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1"><img src="https://miro.medium.com/max/700/1*bZjPtucT8O1esjQaGQenHw.gif" style="max-height:600px;border-radius:2%;"></a>
<a href="https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1"><img src="https://assets.holoviz.org/hvplot/interactive_dashboard.gif" style="max-height:600px;border-radius:2%;"></a>

## Mini getting-started

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pip install hvplot
```

Please note that for versions of `jupyterlab<3.0`, you must install the JupyterLab extension manually with:

```bash
jupyter labextension install @pyviz/jupyterlab_pyviz
```

### Plotting data

Work with your data source:
Expand All @@ -87,7 +81,7 @@ Use the `.hvplot` API as you would use the Pandas or Xarray `.plot` API:
df.hvplot()
```

[<img src="https://github.com/MarcSkovMadsen/old-awesome-panel-assets/blob/master/images/hvPlot/hvplot-intro-plot.gif?raw=true" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/index.html)
[<img src="https://assets.holoviz.org/hvplot/hvplot-intro-plot.gif" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/index.html)


### Interactive data apps
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df.interactive(width=600).head(n=pn.widgets.IntSlider(start=1, end=5, value=3))
```

[<img src="https://github.com/MarcSkovMadsen/old-awesome-panel-assets/blob/master/images/hvPlot/hvplot-intro-interactive.gif?raw=true" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/Interactive.html)
[<img src="https://assets.holoviz.org/hvplot/hvplot-intro-interactive.gif" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/Interactive.html)

### How to find documentation from your notebook or editor

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